Automation index
How much of a Petroleum engineer’s job can AI already do?
A reservoir model comes earlier. Drilling without killing the well do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Petroleum engineer
25%
AI can already do 25% of this job.
#232 / 633
View rankingPetroleum engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Reservoir, rate and the well programme.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Rig, mud and lost circulation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Completion, tests and the ops report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Production, water cut and the workover.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
HSE, blowout and the drill that is not a game.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not killing the well, and signing the programme.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model reservoirs
- well programmes
- drilling mud
- completion
- workover
- water cut
- well HSE
- production tests
Sources for this job· O*NET 17-2171.00· ESCO/ISCO 2146
IS WORK OVER?
Oceanographer
22%
#357 / 633
View rankingOceanographer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Model, buoys and the cruise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Sea, sampling and the one who misses the cast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Data, the gap and not interpolating extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the coast and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the ship and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Read the water, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- current models
- buoys
- ocean cruises
- sampling
- interpolation
- the coast
- the storm
- casts
Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114